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An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images / Y. Bazi in IEEE Transactions on geoscience and remote sensing, vol 43 n° 4 (April 2005)
[article]
Titre : An unsupervised approach based on the generalized Gaussian model to automatic change detection in multitemporal SAR images Type de document : Article/Communication Auteurs : Y. Bazi, Auteur ; Lorenzo Bruzzone, Auteur ; F. Melgani, Auteur Année de publication : 2005 Article en page(s) : pp 874 - 887 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] chatoiement
[Termes IGN] détection de changement
[Termes IGN] distribution de Gauss
[Termes IGN] filtrage numérique d'image
[Termes IGN] image ERS-SAR
[Termes IGN] image multitemporelle
[Termes IGN] image radar
[Termes IGN] seuillage d'imageRésumé : (Auteur) In this paper, we present a novel automatic and unsupervised change-detection approach specifically oriented to the analysis of multitemporal single-channel single-polarization synthetic aperture radar (SAR) images. This approach is based on a closed-loop process made up of three main steps: 1) a novel preprocessing based on a controlled adaptive iterative filtering; 2) a comparison between multitemporal images carried out according to a standard log-ratio operator; and 3) a novel approach to the automatic analysis of the log-ratio image for generating the change-detection map. The first step aims at reducing the speckle noise in a controlled way in order to maximize the discrimination capability between changed and unchanged classes. In the second step, the two filtered multitemporal images are compared to generate a log-ratio image that contains explicit information on changed areas. The third step produces the change-detection map according to a thresholding procedure based on a reformulation of the Kittler-Illingworth (KI) threshold selection criterion. In particular, the modified KI criterion is derived under the generalized Gaussian assumption for modeling the distributions of changed and unchanged classes. This parametric model was chosen because it is capable of better fitting the conditional densities of classes in the log-ratio image. In order to control the filtering step and, accordingly, the effects of the filtering process on change-detection accuracy, we propose to identify automatically the optimal number of despeckling filter iterations [Step 1)] by analyzing the behavior of the modified KI criterion. This results in a completely automatic and self-consistent change-detection approach that avoids the use of empirical methods for the selection of the best number of filtering iterations. Experiments carried out on two sets of multitemporal images (characterized by different levels of speckle noise) acquired by the European Remote Sensing 2 satellite SAR sensor confirm the effectiveness of the proposed unsupervised approach, which results in change-detection accuracies very similar to those that can be achieved by a manual supervised thresholding. Numéro de notice : A2005-194 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2004.842441 En ligne : https://doi.org/10.1109/TGRS.2004.842441 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27331
in IEEE Transactions on geoscience and remote sensing > vol 43 n° 4 (April 2005) . - pp 874 - 887[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 065-05042 RAB Revue Centre de documentation En réserve L003 Disponible Remote sensing image thresholding methods for determining landslide activity / P.L. Rosin in International Journal of Remote Sensing IJRS, vol 26 n° 6 (March 2005)
[article]
Titre : Remote sensing image thresholding methods for determining landslide activity Type de document : Article/Communication Auteurs : P.L. Rosin, Auteur ; J. Hervas, Auteur Année de publication : 2005 Article en page(s) : pp 1075 - 1092 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] analyse de groupement
[Termes IGN] effondrement de terrain
[Termes IGN] filtrage numérique d'image
[Termes IGN] image satellite
[Termes IGN] Italie
[Termes IGN] orthorectification
[Termes IGN] seuillage d'imageRésumé : (Auteur) Detecting landslides and monitoring their activity is of great relevance for disastrer prevention, preparedness and mitigation in hilly areas. To this end, change detection techniques were developed and applied to multi-temporal digital aerial photographs, simulating the very high spatial resolution of new satellite sensor optical imagery, over the Tessina complex landslide in north-eastern Italy. Several automatic thresholding algorithms are compared on the difference orthorectified and radiometrically normalized images, including some standard methods based on clustering, statistics, moment and entropy, as well as some more novel techniques previously developed by the authors. In addition, a variety of filters were employed to eliminate much of the underisable residual clutter in the thresholded difference image, mainly as a result of natural vegetation and man-land cover changes. These filters are based on shape and size properties of the connected sets of pixels in the threshold maps. This has enabled us discriminate most ground surface changes related to the movement of a pre-existing landslide. Numéro de notice : A2005-144 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160512331330481 En ligne : https://doi.org/10.1080/01431160512331330481 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27282
in International Journal of Remote Sensing IJRS > vol 26 n° 6 (March 2005) . - pp 1075 - 1092[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 080-05061 RAB Revue Centre de documentation En réserve L003 Exclu du prêt Comparison of three algorithms for filtering airborne lidar data / K. Zhang in Photogrammetric Engineering & Remote Sensing, PERS, vol 71 n° 3 (March 2005)
[article]
Titre : Comparison of three algorithms for filtering airborne lidar data Type de document : Article/Communication Auteurs : K. Zhang, Auteur ; D. Whitman, Auteur Année de publication : 2005 Article en page(s) : pp 313 - 324 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Lasergrammétrie
[Termes IGN] algorithme de filtrage
[Termes IGN] analyse comparative
[Termes IGN] données lidar
[Termes IGN] filtrage numérique d'image
[Termes IGN] penteRésumé : (Auteur) This paper compares three methods for removing non-ground measurements from airborne laser scanning data. These methods, including the elevation threshold with expanding window (ETEW), maximum local slope (MLS), and progressive morphological (PM) filters, analyze data points based on variations of local slope, and elevation. Low and high-relief data sets with various densities of trees, houses, and sand dunes were selected to test the filtering methods. The results show that all three methods can effectively remove most non-ground points in both low-relief urban and high-relief forested areas. The PM filter generated the best result in coastal barrier island areas, whereas the other algorithms tended to remove the tops of steep sand dunes. Each method experienced various omission or commission errors, depending on the filtering parameters. Topographic slope is the most sensitive parameter for the three filtering methods. Numéro de notice : A2005-105 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.14358/PERS.71.3.313 En ligne : https://doi.org/10.14358/PERS.71.3.313 Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27243
in Photogrammetric Engineering & Remote Sensing, PERS > vol 71 n° 3 (March 2005) . - pp 313 - 324[article]
Titre : Automatic Digital Surface Model (DSM) generation from linear array images Type de document : Thèse/HDR Auteurs : Li Zhang, Auteur Editeur : Zurich : Institut für Geodäsie und Photogrammetrie IGP - ETH Année de publication : 2005 Collection : IGP Mitteilungen, ISSN 0252-9335 num. 88 Importance : 199 p. Format : 21 x 30 cm ISBN/ISSN/EAN : 978-3-906467-55-9 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] appariement d'images
[Termes IGN] B-Spline
[Termes IGN] chambre DTC
[Termes IGN] filtre de Wallis
[Termes IGN] fonction de transfert de modulation
[Termes IGN] modèle numérique de surface
[Termes IGN] triangulation de DelaunayIndex. décimale : 35.20 Traitement d'image Résumé : (Auteur) This dissertation addresses the topic of automatic Digital Surface Model (DSM) generation from linear array images. Research on this issue is mainly motivated by the following facts: In recent years, CCD linear array sensors are widely used to acquire high-quality, high-resolution panchromatic and multispectral imagery for photogrammetric and remote sensing applications. Most of these sensors have the ability to acquire more than 2 views of the terrain surface during a single flight line or orbit. The processing of these kinds of images provides a challenge for algorithmic redesign and this opens the possibility to reconsider and improve many photogrammetric processing components. In particular, automatic DSM generation through image matching techniques is one of the main topics. Although this topic has gained much attention in the past years and a wide variety of approaches have been developed, the accuracy performance and the problems encountered are very similar in the major approaches and the performance of these approaches does by far not live up to the standards set by manual measurements. Therefore, efforts have to be made to develop a general framework for automatic DSM generation from linear array images, into which specific algorithms can be inserted easily, investigated and combined in order to achieve reasonable results in terms of precision and reliability.
In this dissertation, an image matching approach for automatic DSM generation from linear array images, which has the ability to provide dense, precise and reliable results is presented. The approach integrates different matching primitives, uses available and explicit knowledge concerning the image geometry and radiometry information, combines several image matching algorithms and automatic quality control, and works with a coarse-to-fine hierarchical matching strategy. The most outstanding characteristics are the efficient utilisation of multiple images and the integration of multiple matching primitives. With this approach, the linear array images and the given or previously triangulated orientation elements are taken as inputs. After pre-processing of the original images and production of the image pyramids, the matches of 3 kinds of features, i.e. feature points, grid points and edges, on the original resolution images are finally found progressively starting from the low density features on the images with the lowest resolution. An intermediate DSM is reconstructed from the matched features on each level of the pyramid by using the constrained Delauney triangulation method, which in turn is used in the subsequent pyramid level for the approximations and self-tuning of the matching parameters. Finally least squares matching methods are used to achieve more precise matches for al] the matched features and identify some false matches.
The presented approach essentially consists of several mutually connected components: the image pre-processing, the multiple primitive multi-image (MPM) matching, the refined matching and the system performance evaluation. Each of them is important and possesses particular features, which are fully elaborated in different parts of the dissertation.
First of all, a pre-processing method, which combines an adaptive smoothing filter and the Wallis filter, is used in order to reduce the effects of the inherent radiometric problems and optimize the images for subsequent feature extraction and image matching procedure. The method mainly consists of 3 processing stages. In the first stage, the noise characteristics of the images are analyzed quantitatively in both homogeneous and non-homogeneous image regions. The image blur problem (image unsharpness) is also addressed through the analysis of the image's Modulation Transfer Function (MTF). Then, an adaptive smoothing filter is applied to reduce the noise level and at the same time, to sharpen edges and preserve even fine detail such as corners and line end-points. Finally, the Wallis filter is applied to strongly enhance and sharpen the already existing texture patterns.
The MPM matching procedure is the core of our approach. In this approach, the matching is performed with the aid of multiple images, incorporating multiple matching primitives feature points, grid points and edges, integrating local and global image information and, utilizing a coarse-to-fine hierarchical matching strategy.
The MPM approach mainly consists of 3 integrated subsystems: point extraction and matching procedure, edge extraction and matching procedure and relational matching procedure. These 3 subsystems are followed through the image pyramid and the results at higher levels are used for guidance at the lower levels. At each pyramid level, the correspondence is established in two matching stages - locally and globally. In the local matching stage dense patterns of points and edges are matched. A unique and robust matching algorithm - The Geometrically Constrained Cross-Correlation (GC3 ) algorithm is employed to provide matching candidates for points and edge pixels. The algorithm. is based on the concept of multi-image matching guided from the object space and allows reconstruction of 3D objects by matching all the images at the same time, without having to go through the processing of all individual stereo-pairs and the merging of all stereo-pair results. The GC3 method, with the self-tuning of the parameters, leads to a reduction of problems caused by occlusions, multiple solutions and surface discontinuities. The global matching stage is responsible for imposing global consistency among the candidate matches in order to disambiguate the multiple candidates and avoid mismatches. The global matching is resolved by a probability relaxation based relational matching method. It uses the local support provided by points within a 2D neighbourhood. This corresponds to imposing a piecewise smoothness constraint, in which the matched edges serve as breaklines in order to prohibit the smoothness constraint crossing these edges and preserves the surface discontinuities.
The modified Multiphoto Geometrically Constrained Matching (MPGC) and the Least Squares B-Spline Snakes (LSB-Snakes) methods are used to achieve potentially sub-pixel accuracy matches and identify some inaccurate and possibly false matches. The DSM derived from the MPM module provides good enough approximations for these methods and increases the convergence rate. The initial values of the shaping parameters in MPGC matching can also be predetermined by using the image geometry and the derived DSM data. Finally, for each matched point, a reliability indicator is assigned based on the analysis of the matching results. For edges, a simplified version of the LSB-Snakes is implemented to match the edges, which are represented by parametric linear B-spline functions in object space. With this method, the parameters of linear B-spline functions of the edges in object space are directly estimated, together with the matching parameters in the image spaces of multiple images.
The system bas been tested extensively of linear array images with different image resolution and over different land cover types. The accuracy evaluation is based on the comparison between high quality DEMs/DSMs derived from airborne Laser Scanner or manual measurements and the automatically extracted DSMs. As evidenced by the visual inspection of the results, we can reproduce not only the general geomorphological features of the terrain relief, but also detailed features of relief. The results from the quantitative accuracy test indicate that the presented concept has the capability to give good and encouraging results. If the bias introduced by trees and buildings is taken out, we can expect a height accuracy of one pixel or even better from satellite imagery as "best case" scenario. In case of very high resolution TLS/SI images (footprint 8 cm and better) it is obvious that the "one pixel rule" cannot be maintained any more. Alone surface roughness and modeling errors will lead to larger deviations, such that an accuracy of 2 to 5 pixels should be considered an acceptable result.Numéro de notice : 13290 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Thèse étrangère DOI : 10.3929/ethz-a-005055636 En ligne : http://dx.doi.org/10.3929/ethz-a-005055636 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=54962 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13290-01 35.20 Livre Centre de documentation Télédétection Disponible Extraction semi-automatique de bâtiments à partir d'images satellitaires / Z. Mabed (2005)
Titre : Extraction semi-automatique de bâtiments à partir d'images satellitaires Type de document : Mémoire Auteurs : Z. Mabed, Auteur Editeur : Champs/Marne : Université de Marne-la-Vallée Année de publication : 2005 Importance : 47 p. Format : 21 x 30 cm Note générale : Bibliographie
Mémoire de master 2ème année, domaine sciences et technologies, mention systèmes d'information, spécialité sciences de l'information géographiqueLangues : Français (fre) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] C++
[Termes IGN] classificateur paramétrique
[Termes IGN] classification à base de connaissances
[Termes IGN] détection de contours
[Termes IGN] détection du bâti
[Termes IGN] espace colorimétrique
[Termes IGN] extraction semi-automatique
[Termes IGN] filtre de Sobel
[Termes IGN] image RVB
[Termes IGN] image satellite
[Termes IGN] interface logicielle
[Termes IGN] transformation intensité-teinte-saturationIndex. décimale : DSIG Mémoires du master 2 IG, du master 2 SIG, de l'ex DEA SIG Résumé : (Auteur) Le besoin en information géographique est grandissant et il se fait essentiellement ressentir dans le domaine de l'urbain dans lequel l'élément le plus important est le bâtiment. Dans ce contexte et pour répondre à un grand nombre de besoins, il est nécessaire d'avoir une modélisation tridimensionnelle et à grande échelle des bâtiments, une structuration en base de données de l'information 3D, et une définition multi-représentations des bâtiments. La production de données relatives aux bâtiments fait face à un problème de coût financier élevé en raison de l'intervention fréquente d'opérateur humain dans le processus de production. Une étape importante précédant la création des bases de données en 3D à représentations multiples est l'extraction d'information qui demande aussi beaucoup d'intervention humaine. Il est donc nécessaire de mettre en place un processus favorisant la réduction des interventions d'opérateur humain lors de l'extraction des bâtiments. Cette problématique fait l'objet de ce mémoire. L'approche développée s'appuie sur un processus d'extraction semi-automatique de bâtiments en introduisant des connaissances a priori. Nous avons développé un logiciel qui permettra de tester des enchaînements d'algorithmes simples utilisant des connaissances a priori (par exemple sur la couleur des bâtiments ou encore l'orientation des routes) pour extraire les contours de bâtiments à partir d'images satellitaires. Le logiciel servira ensuite au concept d'Instance Driven SASS (Selection of Algorithm Settings and Sources) dont le principe consiste à choisir dans une base de connaissances la suite de traitements à appliquer à une image. Note de contenu : I - INTRODUCTION
II - ETAT DE L'ART
1 Les différentes méthodes d'extraction de contours
- Approches classiques - Approches analytiques - Contours actifs (snake)
2 Les espaces colorimétriques
- Définition de la couleur - Choix d'un espace colorimétrique
3 Exploitation de la cou eur pour extract on e contours
III - LES FONCTIONS DE TRAITEMENT D'IMAGES DU LOGICIEL
1. Description des fonctions de traitement d'images
- Conversion RVB à TS L- Sobel sur l'intensité - Gradient sur la teinte - Direction du gradient - Seuillage - Extraction des contours - ET logique - Développement d'un outil de calcul de statistiques sur les contours - Sauvegarde des résultats dans une base de données Access
2. Analyse des fonctions sélectionnées
- Analyse des performances du filtre de Sobel - Mise en évidence de l'intérêt de la teinte par rapport à l'intensité
- Apport des prétraitements et post traitements
IV - DESCRIPTION DE L'INTERFACE LOGICIELLE
1 Structure dynamique de l'interface
2 Fonctionnalités de l'interface
- Fenêtre des paramètres - Découpage en tuiles - Fonctionnement en mode " batch "
3 Exemple d'exploitation du logiciel
V - CONCLUSIONSNuméro de notice : 30197 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Mémoire Master 2 IG Organisme de stage : Centre de Recherche en Géomatique Québec Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=51653 Réservation
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Code-barres Cote Support Localisation Section Disponibilité 30197-01 DSIG Livre Centre de documentation Travaux d'élèves Disponible A robust method for filtering non-ground measurements from airborne Lidar data / F. Crosilla in GIS Geo-Informations-Systeme, vol 2004 n° 12 (Dezember 2004)PermalinkFiltering airborne Laser scanner data: a wavelet-based clustering method / T. Thuy in Photogrammetric Engineering & Remote Sensing, PERS, vol 70 n° 11 (November 2004)PermalinkIs the Amik Basin (SE Turkey) a triple-junction area? Analyses of SPOT XS imagery and seismicity / S. Over in International Journal of Remote Sensing IJRS, vol 25 n° 19 (October 2004)PermalinkTerrain modeling and airborne Laser data classification using multiple pass filtering / Frédéric Bretar (01/10/2004)PermalinkSmoothing vegetation spectra with wavelets / K.S. Schmidt in International Journal of Remote Sensing IJRS, vol 25 n° 6 (March 2004)PermalinkApplication of wavelet transform for extracting edges of paddy fields from remotely sensed images / T. Ishida in International Journal of Remote Sensing IJRS, vol 25 n° 2 (January 2004)PermalinkVegetation/SPOT: an operational mission for the Earth monitoring, presentation of new standard product / P. Maisongrande in International Journal of Remote Sensing IJRS, vol 25 n° 1 (January 2004)PermalinkCartographie des rizières d'une zone des hautes terres centrales de Madagascar pour la détermination des zones à risque du paludisme / F. Thomas (2004)PermalinkImage numérique couleur, de l'acquisition au traitement / Alain Trémeau (2004)PermalinkManual of photogrammetry, fifth edition / J. Chris Mcglone (2004)PermalinkRecalage vectoriel 3D de contours de bâtiments à partir d'un couple d'images aériennes stéréoscopiques / D. 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